MapAnything
A single model builds a metric 3D reconstruction from photos, and uses camera, depth or pose data when available. One weights variant is under Apache 2.0.
- Developer
- Meta and Carnegie Mellon University, USA
- First release
- Sep 2025
- Latest release
- Dec 2025
- Sizes
- about 1.2B
- License
- Commercial use allowedTwo weights variants: the main one — CC-BY-NC 4.0, a separate one — Apache 2.0 (for commercial use); code — Apache 2.0
- Running
- On your own serverNeeds a GPU
- Industries
- Manufacturing and logistics, Media and production, Science and research
What it does
- 3D reconstruction of an object or room from photos
- Exporting the scene to COLMAP format for further processing
- Depth and camera pose estimation
- Refining the model when capture parameters are known
Where it is used
Hardware requirements
Versions
- MapAnything V1 (фиксированный выпуск)
- MapAnything (CC-BY-NC и Apache 2.0)
How to run it
I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.
Frequently asked questions
Can MapAnything be used in a commercial project?
Yes. License: Two weights variants: the main one — CC-BY-NC 4.0, a separate one — Apache 2.0 (for commercial use); code — Apache 2.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.
What hardware does MapAnything need?
At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.
Does MapAnything support Russian?
Language does not matter for this model: it does not work with text.
Where can I download MapAnything and what does it cost?
The MapAnything weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.
How I deploy it for clients
- SelectionI pick the model size for your task and hardware and test it on your examples.
- DeploymentI deploy it on your server or in a closed network and provide an API.
- Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
- IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.
Similar models
Reconstructs a 3D scene from one, several or hundreds of photos in seconds: camera positions, depth and a point cloud. Best Paper at CVPR 2025.
Details3DPi3 (π³)Shanghai AI Lab · ChinaNon-commercial onlyReconstructs a 3D scene and camera positions from a set of photos or a video without relying on a "reference" frame. Pi3X gives smoother point clouds and approximate scale in meters.
DetailsComputer visionDepth AnythingByteDance and the University of Hong Kong · ChinaCommercial use with conditionsEstimates depth, the distance to every point, from one ordinary photo or video. DA3 reconstructs scene geometry from several frames.
DetailsSource: huggingface.co/facebook/map-anything-apache-v1. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.


